Bosch Group: AI Manufacturing Engineer – CURRICULAR INTERNSHIP (m/f/d) — Nonantola, Emilia-Romagna, Italy
Bosch Group lists a AI Manufacturing Engineer – CURRICULAR INTERNSHIP (m/f/d) opening in Nonantola, Emilia-Romagna, Italy. The position is listed as full-time. The job description covers data analysis, AI, manufacturing, training, technical documentation.
Recruitment overview
| Organisation | Bosch Group |
|---|---|
| Post / role | AI Manufacturing Engineer – CURRICULAR INTERNSHIP (m/f/d) |
| Employment type | Full-time |
| Notification / job ID | REF299138A |
| Job location | Nonantola, Emilia-Romagna, Italy |
| Work arrangement | On-site |
| Educational qualification | Qualification references: bachelor’s degree, master’s degree |
| Experience required | Internship |
| Salary / stipend | See employer notice for pay details |
| Last date to apply | See official notice |
About Bosch Group
Bosch's India activities span mobility, industrial technology, consumer goods, and energy and building technology. Its employer description identifies engineering development, manufacturing and commercial operations within that range. The group operates through multiple Indian businesses, including activities in automotive systems, software and engineering, industrial technology and home appliances. This makes Bosch a collection of related technology businesses rather than a single product operation, with different entities serving different industrial and consumer applications.
The position and its setting
Bosch Group lists AI Manufacturing Engineer – CURRICULAR INTERNSHIP (m/f/d) in Nonantola, Emilia-Romagna, Italy, under reference REF299138A. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.
- Employment type: Full-time
- Employer listing date: 23 October 2026
- Contract type: Limited
- Legal Entity: Bosch Rexroth Oil Control S.p.A.
- Brands: Rexroth
Responsibilities and work described
- Gain hands-on experience at the intersection of industrial automation, artificial intelligence, and manufacturing processes
- Manufacturing Process Analysis: Analyze assembly and kitting processes to identify critical features to be monitored and the main potential sources of errors
- Industrial Vision Systems: Support the development and implementation of industrial vision solutions aimed at automatically verifying the correct composition of kits and the execution of assembly operations
- AI & Image Recognition: Contribute to the definition, training, and validation of image recognition models for component counting and anomaly detection
- Data Analysis & Performance Monitoring: Analyze results and monitor key performance indicators related to quality, efficiency, and scrap reduction, supporting the evaluation of the implemented solutions
- Technical Documentation & Standardization: Support the preparation of technical documentation and the definition of operational standards required for the industrialization of the solution
- Assigned Project
- Contribution: to a project focused on the implementation and industrialization of an AI-enabled vision system for assembly and kitting process control
- In particular, you will:
- Analysis: current assembly and kitting processes and identify the critical features and potential errors to be detected
- Support: the development and configuration of an industrial vision system for automated process monitoring
- Contribution: to the collection and preparation of image data for AI model training and validation
- Support: the training and validation of image recognition models for component counting and anomaly detection
- Evaluate the performance of the developed solution through dedicated quality and process KPIs
- Collaboration: with Production, Quality, and Manufacturing Engineering to integrate the solution into existing processes
- Contribution: to the definition of technical documentation and operating standards to support the industrialization of the solution
Essential requirements and candidate background
- What distinguishes you?
- Education: Currently pursuing a Bachelor’s or Master’s degree in Automation Engineering, Mechatronics Engineering, Computer Engineering, Electronic Engineering, Industrial Engineering, or a related technical field
- Languages: fluent in Italian and English
- Others: Basic knowledge of programming and data analysis; familiarity with Python, computer vision, artificial intelligence, or machine learning would be considered a plus; interest in artificial intelligence, computer vision, industrial automation, and Industry 4.0 applications
Location, schedule and contract conditions
For this overseas or regional listing, confirm work authorisation and any location restrictions with the employer. The location does not establish visa sponsorship or permission to work remotely from India.
- Work arrangement: On-site
- Advertised location: Nonantola, Emilia-Romagna, Italy
Conditions requiring the complete notice
Some passages contain complex or combined conditions that have not been reduced to short eligibility statements here. Read the complete linked notice for those passages, including any alternatives, exceptions or restrictions. The concise facts above should not be treated as the full wording of every condition.
Pay and application dates
A verified salary figure is not established in this article. An online estimate for another AI Manufacturing Engineer – CURRICULAR INTERNSHIP (m/f/d) vacancy is not an offer for reference REF299138A; use the employer’s own pay disclosure and recruitment communication.
A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.
How to apply to Bosch Group
Applications follow the official employer page linked below.
Open the official Bosch Group posting below and match the title and reference REF299138A.
Compare your qualifications and experience with the essential conditions for the Nonantola, Emilia-Romagna, Italy position, then read the preferred criteria separately.
Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.
Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.
Practical preparation: Python
Python work is easier to assess through a concrete example than a list of libraries. Explain the problem, the input data, the parts you implemented and how you checked the output. Include a repository or a short technical note when you can share it.
Relevant skills
- Python
- AI/ML
- data analysis
- AI
- manufacturing
- training
- technical documentation
- machine learning
Important links
| Official notification / job description | Open official page |
|---|---|
| Online application portal | Open official page |
Read the complete official notice before applying. Availability and requirements can change.
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